| Issue |
E3S Web Conf.
Volume 292, 2021
2021 2nd International Conference on New Energy Technology and Industrial Development (NETID 2021)
|
|
|---|---|---|
| Article Number | 02053 | |
| Number of page(s) | 4 | |
| Section | New Energy Economy and Energy Blockchain Application | |
| DOI | https://doi.org/10.1051/e3sconf/202129202053 | |
| Published online | 09 September 2021 | |
The Construction of Food Testing Intelligent Laboratory Based on “Internet+” and Big Data Technology
1 Guizhou Academy of Testing and Analysis, Guiyang, Guizhou, 550000, China
2 Guizhou Academy of Sciences Big Data Co. LTD, Guiyang, Guizhou, 550000, China
* Corresponding author: tanh@gzbdi.com
Food safety testing is of great significance for building a harmonious society. With the advent of the Internet era, the number of data indicators to be considered in food safety testing has gradually increased, and traditional food testing cannot adapt to the fast pace of today’s times. In order to meet the current challenges of food testing, this paper analyses the advantages of “Internet +” in building a food testing laboratory based on the challenges of food safety testing in the Internet era, and discusses the advantages of “Internet +” in the era of food testing. The paper discusses the intelligent working mode of food testing laboratories in the “Internet +” era, and combines big data technology to build an intelligent and comprehensive laboratory management platform, so as to build a new era of food testing intelligent laboratory, which improves the efficiency of food testing managers, reduces the workload, improves the accuracy of food safety testing, and helps the healthy development of the food industry.
© The Authors, published by EDP Sciences, 2021
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.